Fuzzy path planning of unmanned underwater vehicle based on adaptive fireworks algorithm optimization

Y. Ma; X. Y. Meng; Z. Y. Mao; S. Z. Yu; J. Qin; W. J. Ding; H. D. Yang; Y. Ma

doi:10.1109/ICUSAI47366.2019.9124876

Fuzzy path planning of unmanned underwater vehicle based on adaptive fireworks algorithm optimization

Y. Ma
, X. Y. Meng
, Z. Y. Mao
, S. Z. Yu
, J. Qin
, W. J. Ding
, H. D. Yang
, Y. Ma

无人系统技术研究院

Northwestern Polytechnical University Xian
Naval Research Academy
Xi'an Jiaotong University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

1 引用（Scopus）

摘要

Aiming at the typical problem of unmanned underwater vehicle (UAV) path planning, this paper proposes a fuzzy optimization algorithm based on adaptive fireworks. Firstly, the track performance index with a multi-objective fuzzy optimization strategy based on energy consumption and buoy threat was established. Then, the adaptive fireworks search algorithm was used for track planning. Finally, three groups of simulation and comparison experiments with different levels of complex environment were carried out. The results showed that the fuzzy optimization algorithm based on adaptive fireworks can effectively solve the multi-objective fuzzy optimization problem. The method proposed in this paper provided a useful reference for unmanned underwater vehicle path planning.

源语言	英语
主期刊名	2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019
出版商	Institute of Electrical and Electronics Engineers Inc.
页	33-38
页数	6
ISBN（电子版）	9781728158594
DOI	https://doi.org/10.1109/ICUSAI47366.2019.9124876
出版状态	已出版 - 11月 2019
活动	2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019 - Xi'an, 中国期限: 22 11月 2019 → 24 11月 2019

出版系列

姓名	2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019

会议

会议	2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019
国家/地区	中国
市	Xi'an
时期	22/11/19 → 24/11/19

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 7 经济适用的清洁能源

访问文件

10.1109/ICUSAI47366.2019.9124876

其它文件与链接

链接到 Scopus 的出版物

引用此

Ma, Y., Meng, X. Y., Mao, Z. Y., Yu, S. Z., Qin, J., Ding, W. J., Yang, H. D., & Ma, Y. (2019). Fuzzy path planning of unmanned underwater vehicle based on adaptive fireworks algorithm optimization. 在 2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019 (页码 33-38). 文章 9124876 (2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICUSAI47366.2019.9124876

Ma, Y. ; Meng, X. Y. ; Mao, Z. Y. 等. / Fuzzy path planning of unmanned underwater vehicle based on adaptive fireworks algorithm optimization. 2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 页码 33-38 (2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019).

@inproceedings{5bb3fc408e764fee825a9407c54b543e,

title = "Fuzzy path planning of unmanned underwater vehicle based on adaptive fireworks algorithm optimization",

abstract = "Aiming at the typical problem of unmanned underwater vehicle (UAV) path planning, this paper proposes a fuzzy optimization algorithm based on adaptive fireworks. Firstly, the track performance index with a multi-objective fuzzy optimization strategy based on energy consumption and buoy threat was established. Then, the adaptive fireworks search algorithm was used for track planning. Finally, three groups of simulation and comparison experiments with different levels of complex environment were carried out. The results showed that the fuzzy optimization algorithm based on adaptive fireworks can effectively solve the multi-objective fuzzy optimization problem. The method proposed in this paper provided a useful reference for unmanned underwater vehicle path planning.",

keywords = "Adaptive fireworks algorithm, Fuzzy optimization, Path planning, Unmanned underwater vehicle",

author = "Y. Ma and Meng, \{X. Y.\} and Mao, \{Z. Y.\} and Yu, \{S. Z.\} and J. Qin and Ding, \{W. J.\} and Yang, \{H. D.\} and Y. Ma",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019 ; Conference date: 22-11-2019 Through 24-11-2019",

year = "2019",

month = nov,

doi = "10.1109/ICUSAI47366.2019.9124876",

language = "英语",

series = "2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "33--38",

booktitle = "2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019",

}

Ma, Y, Meng, XY, Mao, ZY, Yu, SZ, Qin, J, Ding, WJ, Yang, HD & Ma, Y 2019, Fuzzy path planning of unmanned underwater vehicle based on adaptive fireworks algorithm optimization. 在 2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019., 9124876, 2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019, Institute of Electrical and Electronics Engineers Inc., 页码 33-38, 2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019, Xi'an, 中国, 22/11/19. https://doi.org/10.1109/ICUSAI47366.2019.9124876

Fuzzy path planning of unmanned underwater vehicle based on adaptive fireworks algorithm optimization. / Ma, Y.; Meng, X. Y.; Mao, Z. Y. 等.
2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 页码 33-38 9124876 (2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Fuzzy path planning of unmanned underwater vehicle based on adaptive fireworks algorithm optimization

AU - Ma, Y.

AU - Meng, X. Y.

AU - Mao, Z. Y.

AU - Yu, S. Z.

AU - Qin, J.

AU - Ding, W. J.

AU - Yang, H. D.

AU - Ma, Y.

PY - 2019/11

Y1 - 2019/11

N2 - Aiming at the typical problem of unmanned underwater vehicle (UAV) path planning, this paper proposes a fuzzy optimization algorithm based on adaptive fireworks. Firstly, the track performance index with a multi-objective fuzzy optimization strategy based on energy consumption and buoy threat was established. Then, the adaptive fireworks search algorithm was used for track planning. Finally, three groups of simulation and comparison experiments with different levels of complex environment were carried out. The results showed that the fuzzy optimization algorithm based on adaptive fireworks can effectively solve the multi-objective fuzzy optimization problem. The method proposed in this paper provided a useful reference for unmanned underwater vehicle path planning.

AB - Aiming at the typical problem of unmanned underwater vehicle (UAV) path planning, this paper proposes a fuzzy optimization algorithm based on adaptive fireworks. Firstly, the track performance index with a multi-objective fuzzy optimization strategy based on energy consumption and buoy threat was established. Then, the adaptive fireworks search algorithm was used for track planning. Finally, three groups of simulation and comparison experiments with different levels of complex environment were carried out. The results showed that the fuzzy optimization algorithm based on adaptive fireworks can effectively solve the multi-objective fuzzy optimization problem. The method proposed in this paper provided a useful reference for unmanned underwater vehicle path planning.

KW - Adaptive fireworks algorithm

KW - Fuzzy optimization

KW - Path planning

KW - Unmanned underwater vehicle

UR - https://www.scopus.com/pages/publications/85087910992

U2 - 10.1109/ICUSAI47366.2019.9124876

DO - 10.1109/ICUSAI47366.2019.9124876

M3 - 会议稿件

AN - SCOPUS:85087910992

T3 - 2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019

SP - 33

EP - 38

BT - 2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019

Y2 - 22 November 2019 through 24 November 2019

ER -

Ma Y, Meng XY, Mao ZY, Yu SZ, Qin J, Ding WJ 等. Fuzzy path planning of unmanned underwater vehicle based on adaptive fireworks algorithm optimization. 在 2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 页码 33-38. 9124876. (2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019). doi: 10.1109/ICUSAI47366.2019.9124876

Fuzzy path planning of unmanned underwater vehicle based on adaptive fireworks algorithm optimization

摘要

出版系列

会议

联合国可持续发展目标

访问文件

其它文件与链接

指纹

引用此